Developing a data assimilative forecasting system of the North and Baltic Seas biogeochemistry


Contact
Svetlana.Losa [ at ] awi.de

Abstract

A biogeochemical forecasting system of the North and Baltic Seas is developed based on the HIROMB-BOOS circulation Model (HBM) coupled with the ERGOM ecosystem model and augmented by data assimilation (DA). The DA system is built within the Parallel Data Assimilation Framework (Nerger et al., 2005, Nerger and Hiller, 2013) and has been validated by the German Federal Maritime and Hydrographic Agency (BSH) for sea surface temperature assimilation into the operated BSHcmod with the Singular Evolutive Interpolated Kalman (SEIK) filter (Pham, 1998). The DA system is further extended by assimilating chlorophyll concentrations. In the frame of the ensemble based DA techniques- SEIK and a sequential Importance Resampling (SIR) filter,- we consider various aspects and strategies of the biogeochemical state and parameter estimation when assimilating MODIS satellite chlorophyll “a” and NOAA’s sea surface temperature observations. In particular, we identify crucial ecosystem parameters, investigate possible impacts of the assumed stoichiometry and scaling biogeochemical variables in the presence of non-Gaussianity on the forecasting system performance.



Item Type
Conference (Poster)
Authors
Divisions
Primary Division
Programs
Primary Topic
Peer revision
Not peer-reviewed
Publication Status
Published
Event Details
EGU General Assembly, 12 Apr 2015 - 17 Apr 2015.
Eprint ID
37788
Cite as
Loza, S. , Nerger, L. , Lorkowski, I. , Brüning, T. , Janssen, F. , Lebreton, C. and Brockmann, C. (2015): Developing a data assimilative forecasting system of the North and Baltic Seas biogeochemistry , EGU General Assembly, 12 April 2015 - 17 April 2015 .


Download
[img]
Preview
PDF
EGU_2015_poster_v1.pdf

Download (3MB) | Preview
Cite this document as:

Share

Research Platforms
N/A

Campaigns


Actions
Edit Item Edit Item